Motion of Bacteria near Solid Boundaries

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400
Biophysical Journal
Volume 90
January 2006
400–412
Swimming in Circles: Motion of Bacteria near Solid Boundaries
Eric Lauga,* Willow R. DiLuzio,*y George M. Whitesides,y and Howard A. Stone*
*Division of Engineering and Applied Sciences, and yDepartment of Chemistry and Chemical Biology, Harvard University,
Cambridge, Massachusetts
ABSTRACT Near a solid boundary, Escherichia coli swims in clockwise circular motion. We provide a hydrodynamic model
for this behavior. We show that circular trajectories are natural consequences of force-free and torque-free swimming and the
hydrodynamic interactions with the boundary, which also leads to a hydrodynamic trapping of the cells close to the surface. We
compare the results of the model with experimental data and obtain reasonable agreement. In particular, the radius of curvature
of the trajectory is observed to increase with the length of the bacterium body.
INTRODUCTION
The bacterium Escherichia coli (E. coli) has been a microorganism of choice for studying a variety of biological and
biomechanical processes. In particular, E. coli has been used
as the prototypical micro-swimmer (1,2). In solution, E. coli
cells swim in a random walk, with approximately straight
swimming trajectories alternating with rapid reorientations.
When E. coli cells are close to a surface, however, they trace
out clockwise (when viewed from above the surface) circular
trajectories (3–8), and are observed to stay near the surface
for long periods of time (8), enhancing the probability of their
adhesion to the substrate. Consequently, the motility of E.
coli near surfaces is important in the early stages of biofilm
formation and pathogenic infection (9,10). In this article, we
provide a hydrodynamic model for such circular motion.
E. coli and other peritrichously flagellated bacteria swim
by the action of rotary motors (usually two to six) embedded
in the cell wall (2). The motors rotate counter-clockwise or
clockwise, when viewed from behind the cell, with each
motor driving a long, thin, left-handed helical flagellar filament. If all the motors rotate counter-clockwise in a viscous
fluid (e.g., water), the flagella bundle together and propel the
bacterial cell forward. This motion is called a ‘‘run’’. If one
or more motors rotate clockwise, the flagella unbundle, and
the bacteria tumbles. The forward thrust generated by the
flagellar bundle during a run is opposed by the translational
viscous drag on the entire cell. Each flagellum (average
length, ;7 mm) rotates at speeds of ;100 Hz (11,12) and its
counter-clockwise rotation exerts a net torque on the cell
body (average length, 2–5 mm). To balance this torque, the
cell body counter-rotates in a clockwise direction (viewed
from behind the organism) at speeds of ;10 Hz (13).
As described above, E. coli cells near solid surfaces do not
have straight runs but are observed to trace out clockwise
circles. An early observation of this circular motion (1971),
Submitted June 24, 2005, and accepted for publication September 28, 2005.
Address reprint requests to E. Lauga, E-mail: lauga@mit.edu.
E. Lauga’s present address is Dept. of Mechanical Engineering,
Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge,
MA 02139.
Ó 2006 by the Biophysical Society
0006-3495/06/01/400/13
$2.00
reported in Berg and Turner (4), measured a radius of curvature for the circles on the order of 25 mm. The swimming
direction was clockwise when viewed from above, which
the authors expected, as the flagellar bundle rotates counterclockwise and the cell body rotates clockwise. The influence
of temperature on the motility of E. coli was considered
in Maeda et al. (3); this work reported circular curves for
the motion near a glass slide, with a radius on the order of
10–50 mm, and which increased with temperature. A tracking
microscope was used later (5,6) to follow the trajectory of E.
coli near a glass surface. Again, near solid boundaries, the
bacteria were observed to swim in circles, with radius of
;13 mm; the authors also found that the swimming speed
increased with the distance from the boundary. The question of
attraction between the swimming bacteria and solid surface
has been studied in Vigeant and Ford (7) and Vigeant et al.
(8), and the distance to the surface has been measured (tens
of nanometers). It was found that standard DerjaguinLandau-Verwey-Overbeek theory could not explain the
tendency of the cells to stay near the surfaces, but that
some other force was still to be identified. The authors
proposed that, because of their nonspherical shape, the cells
swim at an angle to the surface, and therefore constantly
swim into the surface. More recently, a related study on the
motion of Vibrio alginolyticus near surfaces has reported
circular trajectories as well (14,15).
Numerically, there has been only one study that has considered the hydrodynamics of a swimming bacteria near a noslip surface (16) (see also early work on flagellar motion near
boundaries in (17–21)). The bacterium was modeled as a body
of spherical shape with a single, solid, helical flagellum and
the boundary integral method was used for the numerical
investigation. In this approach, the total flow field was given
by a distribution of fundamental singularities for Stokes flow
along the surface of the microorganism. In the simulations,
circular motion was obtained with a radius of curvature on
the order of the length of the microorganism (;10 mm),
with a tendency for the microorganism to swim toward the
wall and crash into it. Furthermore, the authors proposed a
doi: 10.1529/biophysj.105.069401
Swimming in Circles
physical picture for a clockwise motion. However, no simple
analytical model was proposed and a numerical integration
was required to obtain the cell trajectories.
The goal of this article is to provide a hydrodynamic
model for the motion of E. coli near solid boundaries. We
first summarize our experiments to obtain a new set of data
on swimming speed and circular trajectories for E. coli strain
HCB437 near solid surfaces. We then present our geometrical model for E. coli, and the physical picture for the
circular trajectory of the bacterium near a no-slip surface,
based on the change in hydrodynamic resistance of elements
along the cell body due to the nearby surface. Using
resistive-force theory, we calculate the trajectory of the
bacterium. Since the full model requires a matrix inversion
to be evaluated, we also present an approximate analytical
solution for the trajectory. In particular, we show that the
circular motion is clockwise when viewed from above the
surface, and that the cells need to swim into the surface as
a natural consequence of force-free and torque-free swimming. We then illustrate the results of our two models (the
full model and its analytical approximation), show their
dependence on various geometrical parameters of the cell,
and compare the models with our experiments. We find that
our models are consistent with experimental swimming
speeds and radii of curvature of the circular motions, and that
they allow us to obtain an estimate for the relation between
the size of the bacterium and its distance to the surface. The
values of the various hydrodynamic mobilities used in
the model are presented in Appendix A, and the cell trajectory far from a surface is given in Appendix B.
EXPERIMENT
We examined a dilute suspension of smooth-swimming (i.e.,
non-tumbling) E. coli cells (HCB437) (22) in an observation
chamber. The cells were observed from outside the chamber
above the surface, swimming with counter-clockwise trajectories; consequently, when viewed from within the liquid
(what we will refer to as ‘‘above the surface’’ in the remainder of the article), they are performing clockwise trajectories. In Fig. 1, we provide superimposed video images
showing the curved trajectories that cells follow when swimming near the glass surface.
Materials and methods
Preparation of motile cells
E. coli strain HCB437 (22) used in these studies is a smoothswimming strain that is deleted for most chemotaxis genes.
During cell growth, cells double their length and then divide
at their approximate midpoint (septate), while maintaining
a constant width. The length of cells naturally vary depending on the progress of cells through the growth cycle (23).
Media components were purchased from Difco (Tucker,
401
FIGURE 1 Superimposed phase-contrast video microscopy images show
E. coli cells (HCB437) swimming in circular trajectories near a glass surface.
(Left) Superposition of 8 s (240 frames) of video images. (Right) Typical
superposition of 2 s (60 frames) of video images that was used to analyze the
length and width of cells, the swimming speed of cells, and the radius of
curvature of the trajectories.
GA) or Sigma (St. Louis, MO). Saturated E. coli cultures
were grown for 16 h in tryptone broth (1% tryptone and 0.5%
NaCl) using a rotary shaker (200 rpm) at 33°C. Saturated
cultures were frozen at 70°C in 15% glycerol. Motile E.
coli cultures were obtained by diluting 50 mL of the thawed
saturated culture into 5 mL of fresh tryptone broth, and
grown in 14 mL sterile, polypropylene tubes at 33°C on
a rotary shaker (150 rpm) for 3.5 h. Cells were washed by
three successive centrifugations at 2000 g for 8 min and were
resuspended into motility buffer (24) (1 mM potassium
phosphate, pH 7.0, 0.1 mM Na-EDTA) containing 10 mM
glucose and 0.18% (w/v) methylcellulose (Methocel 90;
Biochemika, Fluka, St. Louis, MO). Glucose was added to
maintain motility in an anaerobic environment and methylcellulose was added to reduce the tendency of cells to wobble
(25) (solutions of methylcellulose are Newtonian at concentrations ,0.5% (26)). Filamentous cells were obtained by
growing motile cells for 3.5 h as described above, adding
50 mg/mL cephalexin to the culture, and then growing cells
an additional 0.5 h (27). Filamentous cells were then washed
as described above.
Observation of swimming cells
A volume of 50 mL of the washed cell suspension (;106
cells/mL) was added to an observation chamber constructed
from two glass coverslips and double-sided tape (Scotch,
permanent; 3M, St. Paul, MN). The chamber dimensions
were ;1-cm wide, ;2-cm long, and ;80-mm high. The
microscope coverslips were alternately rinsed with soap and
DI water, DI water, ethanol, DI water, and then treated with
an air plasma for 1 min at 1–2 Torr (SPI Plasma Prep II;
Structure Probes/SPI Supplies, West Chester, PA). The
observation chamber was heated to 32°C using a heated
microscope stage (Research Instruments, Singapore). Cells
swimming near the upper glass coverslip were observed using
a Nikon Eclipse E400 upright, phase-contrast microscope
(Nikon, Marunouchi, Tokyo). Video images were acquired
using a 203 or 403 Nikon phase objective and a monochrome CCD camera (Model No. V1070; Marshall Electronics, El Segundo, CA) connected to a digital video
Biophysical Journal 90(2) 400–412
402
recorder (Model No. GV-D1000, Sony, San Diego, CA) that
collected 640 pixel 3 480 pixel images at 30 frames per
second.
Image analysis
Video was captured into a computer using Adobe Premiere
(Adobe, San Jose, CA) and analyzed using ImageJ (available
for download at http://rsbweb.nih.gov/ij/) or Scion Image
(available for download at http://www.scioncorp.com) using
standard analysis tools. Video images were thresholded so
that cells appeared black and the background appeared white.
The following parameters were measured for individual cells
in 60 consecutive video frames (2 s): The projected area of
the cell, the midpoint of the cell, and the short and long axis
of the cell (approximating the cell shape as an ellipse). The
average of these values measured over the 2-s interval was
used. The average cell speed was calculated by measuring
the average distance that the midpoint of the cell traveled
between each video frame and dividing this distance by the
video collection rate (30 fps or 0.033 s). The radius of curvature of the cell trajectory was calculated by making a leastsquare fit of a circle to the 2-s trajectory of the midpoint of
the cell. A small amount of error was introduced by the
collection and analysis of cells from multiple regions of the
swimming chambers and from multiple chambers. Small
changes in focus and lighting in different regions led to
variability in the thresholding, which led to some error in the
measurement of cell widths and lengths. The error due to
differences in focus and lighting were ,10%, as judged by
the variability in the widths of cell. We minimized these
effects by using the measured aspect ratio of cells and an
average value (1.5 mm) for the width of cells in all calculations below.
Results
In Fig. 2 we plot the experimental results for the cell
swimming speed (U) and the radius of curvature of the circles (R) as a function of the equivalent sphere radius, a, that
is, the radius of the sphere that has the same viscous resistance as the prolate ellipsoid of measured cell width and
aspect ratio, translating along its axis of symmetry (28),
Lauga et al.
a 4
1
pffiffiffiffiffiffiffiffiffiffiffiffiffi
ffi!
¼
;
2
w 3 2f2 1
f1 f 1
2f
pffiffiffiffiffiffiffiffiffiffiffiffiffiffi 2
3=2 ln
f 1
ðf2 1Þ
f f2 1
(1)
where w is the width of the cell and f its aspect ratio (see Table
1 for a summary of the symbols used in the article). As
explained above, we take w to be the average of the measured
cell widths to minimize focus and lighting differences (w ¼
1.5 mm) and measure the value of f. The scatter in the experimental data, evident in Figs. 1 and 2, can be explained by the
natural cell-to-cell variability in the number of flagella (29),
flagellar length, flagellar rotation rates (12), and distances of
cells from the surface (8) (parameters that might also be function of cell length); we address the effects that these parameters
have on the predicted radius of curvature below. Nonetheless,
the experimental data demonstrate a statistically significant
(R2 ¼ 0.55) increase of the radius of curvature of the trajectories of cells swimming near a glass surface with the cell size.
MODEL
We present in this section our hydrodynamic model for the
motion of E. coli near a flat no-slip surface and give a simple
physical picture for the circular trajectory.
Setup
We model the bacterium as a single, left-handed rigid helix
attached to a spherical body (16,30,31) of radius a whose
center of mass is located at a distance d above a solid surface,
as illustrated in Fig. 3; the liquid gap between the solid surface and the cell body has height h. At the concentration we
use, cells are separated by at least one body length, i.e.,
approximately 10 mm. Force-free flows, as the flow around
a swimming bacteria, decay spatially at least as fast as 1/r2,
where r is the distance from the cell, and possibly faster
when near solid boundaries, and as a consequence, cells are
not expected to interact hydrodynamically with each other.
The cell is assumed to be parallel to the surface and oriented
in the y direction. The helix is assumed to have thickness 2r,
radius b, wavelength l, with a number n of wavelengths
along the helix, such that the total length of the helix along
FIGURE 2 Results of our experimental
investigation of swimming E. coli near solid
boundaries. (Left) Radius of curvature of the
circular trajectory, R, as a function of the
equivalent sphere radius, a, of the elliptical
cell body (see text). (Right) Swimming speed,
U, versus equivalent body radius, a. In both
cases, we have added as dashed lines the best
least-square fit to the data of the form aa 1 b.
(Left) a ¼ 86.78, b ¼ 61.99 mm, and
R2 ¼ 0.55. (Right) a ¼ 19.09 s1, b ¼
39.39 mm s1, and R2 ¼ 0.165.
Biophysical Journal 90(2) 400–412
Swimming in Circles
403
TABLE 1 List of symbols used in this article and their meaning
Symbol
U
V
U
R
a
w, f
d
h
r
b, l
n
Lk
v
F 1x ; F 2x
F
L
M, W
N, V
Mab
ij
a
b
ck, c?
uk, u?
m
ck
f (z)
A, B
h0, a1, a2
e
s
I, J
Meaning
Velocity of the cell, U ¼ (Ux, Uy, Uz).
Rotation rate of the cell, V ¼ (Vx, Vy, Vz). 1=2
Planar swimming velocity of the bacteria, U ¼ Ux2 1Uy2
.
Radius of curvature of the trajectory, R ¼ U/jVzj.
Equivalent sphere radius, given by Eq. 1.
Width and aspect ratio of the cell.
Distance between the center of the cell and the surface.
Gap thickness between the cell and the surface.
Radius of the flagella filament (bundle).
Radius and wavelength of the helix.
Number of wavelength in the flagella.
Length of the flagella Lk ¼ nl.
Rotation rate of the flagella (in the frame attached
to the cell body).
Local forces responsible for the cell rotation near the
surface (see Fig. 4).
F ¼ (Fx,Fy,Fz).
L ¼ (Lx,Ly,Lz).
Mobilities of the cell body; M (W) is non-zero
(zero) away from the surface.
Mobilities of the flagella; N (V) is non-zero (zero)
away from the surface.
Typical notation for the viscous mobilities, Mab
ij ¼ @ai =@bj .
Either F, for force, or L, for torque.
Either U, for velocity, or V, for rotation rate.
Local drag coefficient for motion parallel and perpendicular
to local length.
Component of local velocity parallel and perpendicular to
local length.
Shear viscosity of the liquid.
Value of ck at a distance d to the surface.
Variation of ck from ck , that is f ðzÞ ¼ ck =ck .
Mobility matrix for the cell body and the helical
flagellar bundle.
Parameters for the linear increase of h with a (Eq. 25).
Slenderness of the helical flagella, e ¼ 2pb/l.
Curvilinear coordinate along the flagella.
Integrals involved in the flagellar mobility calculations
(Eq. 29).
the y direction is Lk ¼ nl. The assumption of sphericity,
although not completely realistic for the cell body of E. coli
which is more like a 2:1 prolate ellipsoid, was made in order
to use well-known mobility formulae, and we expect
therefore our results to be correct within a shape factor of
order unity. Due to the action of rotary motors, the bundle is
rotating in the counter-clockwise direction (viewed from
behind) with an angular velocity v ¼ – v ey relative to the
body, with v . 0 (see Fig. 3). We denote by U ¼ (Ux, Uy,
Uz) and V ¼ (Vx, Vy, Vz) the instantaneous velocity and
rotation rate (measured from the center of the cell body),
respectively, of the bacterium.
Physical picture
In the absence of a nearby wall, the bacterium swims in
a straight line, U ¼ Uy ey, and rotates along its swimming
FIGURE 3 Setup and notations for the mechanical model of E. coli
swimming near a solid surface.
axis, V ¼ Vy ey. The velocity Uy . 0 is obtained by
balancing the propulsive force of the helical bundle with the
viscous resistance on the whole bacterium and the rotation
rate Vy . 0 is found by the balance of viscous moments
around the y axis (see Appendix B).
What changes when the microorganism is swimming near
a solid surface? Both the cell body and the helical bundle
contribute together to a rotation of the bacterium around the
z axis (see notations in Fig. 3; see also (32)).
First, as the cell body is near the surface, when it rotates
around the y-axis at a rate Vy . 0, there is a viscous force
acting on the cell body in the x-direction, F 1x ex , with F 1x .0
(see diagram on Fig. 4 a). This is a standard hydrodynamic
result (28) and an intuitive way to think about this result is
to picture a ball in a liquid film near a surface; pushing
the ball along the surface will also make it rotate, and vice
versa.
The bundle of flagella is also acted upon by a net force in
the x-direction, induced by the presence of the wall. Since the
bundle takes the shape of a helix, parts of the bundle are
located close to the surface and parts are located further away
(see Fig. 4). The local drag coefficient on an elongated
filament decreases with increasing distance from the nearby
surface (see details below), which means that the parts of the
bundle that are close to the surface will be subjected to a
larger local viscous force compared to portions of the helix
located further away from the surface. As the helical bundle
rotates counter-clockwise around the y axis (viewed from
behind), the portions of the helix that are closer to the surface
have a positive x velocity, and therefore the net viscous force
acting on the bundle, F 2x ex , is negative, F 2x , 0 (see diagram
in Fig. 4 b). Note that since the swimming bacterium as
a whole is force-free, we have necessarily F 2x ¼ F 1x .
As a consequence of the viscous forces acting on both the
helical bundle and the cell body and their spatial distribution,
Biophysical Journal 90(2) 400–412
404
Lauga et al.
FIGURE 4 Physical picture (side and front
views) for the out-of-plane rotation of the
bacterium: (a) The positive y-rotation of the
cell body leads to a net viscous x-force on the
cell body, F 1x .0. (b) The negative y-rotation of
the helical bundle leads to a net negative
viscous x-force on the flagella, F 2x ,0. The
spatial distribution of these forces leads to
a negative z-torque on the bacterium, which
makes it rotate clockwise around the z-axis.
Therefore, when viewed from above, the
bacterium swims to its right.
a negative torque, Lz , 0, will act on the bacterium and
will rotate the entire cell clockwise around the z axis (Fig. 4,
right). When viewed from above, the bacterium will therefore swim to the right, as is observed experimentally. Since
the bacterium as a whole is torque-free (the inertia of the
organism is much smaller than the resisting fluid forces, so
forces and torques on the organism need to balance at each
instant), this torque will be balanced by a positive torque
arising from the viscous resistance to a rotation around the
z axis.
This physical picture allows us to obtain an estimate for
the radius of curvature R of the motion, as the ratio of
the swimming velocity Uy to the out-of-plane rotation rate
Vz. Since the Reynolds number for the flow number is low
(typically Re 104), the equations of motion for the fluid
are linear (Stokes flow), and therefore instantaneous viscous
forces and torques for various parts of the bacterium are
linearly related to their velocities and rotation rates, with
linear coefficients usually termed mobilities (see Eqs. 8 and 9
below).
We denote by M and N the viscous mobilities of the
bacterium flagella and body, respectively, which are nonzero even in the absence of a wall, and by W and V those
which are equal to zero when the microorganism swims far
from the surface. For example, the mobility relating the y
component of the viscous force to the y component of the cell
velocity will be denoted by an M-symbol, as it is non-zero
even without the presence of the nearby surface, but the
mobility relating the x component of the viscous torque to
the y component of the cell velocity will be denoted by a
W-symbol, as this mobility is equal to zero far away from
a solid boundary. This distinction will allow us to get a
clear understanding of the physical mechanisms at play when
we obtain formulae for the motion of the organism.
For all these mobilities (say M for illustration purposes)
we will use notations of the form Mab
ij , where the superscript
th
ab is either FU, in which case MFU
ij denotes how the i
component of a viscous force is linearly related to the jth
component of the cell velocity (Fi ¼ MFU
ij Uj ), FV (relation
Biophysical Journal 90(2) 400–412
between force and rotation rate), LU (relation between torque
and velocity), or LV (relation between torque and rotation
rate). We will also always use the convention that the
mobilities are positive, and will therefore appear with a minus
sign when necessary (see Eqs. 8 and 9).
To have an estimate of the radius of curvature of the
trajectories, we need to estimate both the swimming velocity
and the out-of-plane rotation. The swimming velocity is
obtained by balancing the propulsive force of the microorganism due to the rotation of the flagella, MFV
yy ðv Vy Þ,
with the viscous drag on the whole bacterium, given by
FU
ðMFU
yy 1N yy ÞUy , so that
FU
FU
MFV
yy ðv Vy Þ ðMyy 1 N yy ÞUy :
(2)
The rotation rate can be estimated by balancing the wallinduced torque mentioned above, also due to rotation of
the flagella, Lz W LV
zy ðv Vy Þ, with the viscous torque
resisting rotation of the whole bacterium. This is mostly due
to the viscous resistance of the long flagella, MLV
zz Vz ,
which is
LV
LV
W zy ðv Vy Þ Mzz Vz :
(3)
By evaluating the ratio of the two previous balances, we
obtain an estimate for the radius of the circular motion as
LV
FV
Mzz Myy
Uy
R
FU :
FU
jVz j W LV
zy ðMyy 1 N yy Þ
(4)
Away from the surface, W LV
zy becomes small and therefore
the radius of curvature of the trajectory will become large,
which is expected as bacteria (during a run) swim in straight
lines. (Note that both translational and rotational diffusion,
neglected in this article, will actually prevent E. coli from
swimming in a straight line for more than a few seconds.) As
is demonstrated below, the simple estimate given by Eq. 4
is consistent with a more detailed calculation for the cell
trajectory.
Swimming in Circles
405
TRAJECTORY CALCULATION FOR
THE BACTERIUM
The case of helical flagella was first considered in this
context in Chwang et al. (38). Note that the drag anisotropy
between tangential and perpendicular motion is the fundamental origin of the flagellar propulsion of microorganisms
(2,34,37). Although it is only an approximate method, RFT
has been shown in the past to provide both qualitative and
quantitative information about the locomotion of microorganisms (21,34,37,39,40).
The presence of a solid surface modifies the values of the
resistance coefficients for both the cell body and its flagella
(18–21,41–45). Elements of the helical flagella are located at
a distance d(z) ranging between d b and d 1 b to the solid
surface, which are both smaller than the helix wavelength l,
so that the viscous resistance to motion of the flagella
is dominated by the interactions with the surface. Since r d 6 b, we consider the far-field asymptotic results of Katz
et al. (19) (see also the review in Brennen and Winet (21))
and use
We proceed in this section by presenting the detailed
calculation for the trajectory of the bacterium using resistiveforce theory for the flagellar hydrodynamics, and exploit it to
obtain an approximate analytical solution.
Modeling of flagella hydrodynamics
The modeling chosen here for the helical hydrodynamics is
that of resistive-force theory (RFT), as first introduced by
Gray and Hancock (34), since it is the simplest approach to
the zero-Reynolds-number hydrodynamics of elongated
bodies. The method is an approximation to the equations
of slender-body theory (SBT). SBT considers the zeroReynolds-number dynamics of long and slender filaments by
distributing fundamental Stokes flow singularities at their
centerline (33,35). The idea was first introduced by Hancock
(36), is reviewed in detail by Lighthill (37), and has been
applied to the case of helical flagella in Higdon (30).
RFT is the leading-order approximation of SBT, which gives
results accurate at order Oð½logðL=rÞ1 Þ, where L is the length
along the filament and r its radius. The complexity of fully
solving for the spatial distribution of singularities on a moving
flagellar filament is replaced by introducing a set of local drag
coefficients. Let us consider a portion of the filament of length
d‘, oriented along the tangential vector, t, and moving at
a velocity u in a viscous liquid. The local velocity can be
decomposed into a parallel and perpendicular components,
u ¼ uk 1 u?, where uk is parallel to the tangential vector,
uk ¼ (u t)t, and u? is perpendicular to it, u? ¼ u – uk. RFT
assigns values for the local drag coefficients, ck and c?, which
relate the local viscous force per unit length to the local parallel
and perpendicular velocities, such that the total force on an
element of length d‘ can be written
dF ¼ d‘ðck uk 1 c? u? Þ:
ck ðzÞ ¼
2pm
;
lnð2l=rÞ 1=2
c? ¼ 2 ck :
c? ¼ 2 ck :
Mobilities
We consider separately the mobilities of the cell body and its
flagella, neglecting therefore the hydrodynamic interactions
between these two parts of the microorganism. Although this
is an approximation, we expect it will contribute only to a
small error in the final results as the presence of a nearby
surface leads to spatially localized flow fields, decaying at
least as fast as a Stokeslet-dipole (;1/r2).
As described earlier, we denote by M and N the mobilities
that are non-zero even in the absence of a wall, and by W and
V those which are equal to zero when the microorganism
swims far from the surface (with the conventions that the
mobilities are positive). The mobility matrix for the spherical
cell can be written as
(5)
(6)
1
FU
FV
0 1
N xx
0
0
0
V xy
0
Fx
Ux
C
B
FU
FV
N yy
0
V yx
0
0 C B Uy C
B Fy C B 0
C B C
C B
B
FU
B Fz C B 0
B C
0
N zz
0
0
0 C
C B Uz C;
C¼ B
B
LV
LU
C
C
B Lx C B 0
0
N xx
0
0 C B
V xy
C B
B
B Vx C
C @ Vy A
@ Ly A B LU
LV
@ V yx
0
0
0
N yy
0 A
Lz
Vz
LV
0
0
0
0
0
N zz
|fflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflffl{zfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflffl}
0
1
(7)
Deviations from 2 for the ratio c?/ck were discussed in this
context by Katz and Blake (20). We will denote by ck the
value of the drag coefficient, Eq. 7, when d(z) ¼ d, and will
denote deviations from this value by the function f, so that
ck ðzÞ ¼ ck f ðzÞ.
For a periodic flagellar filament (wavelength l) performing planar oscillations in a liquid of viscosity m and far from
a solid surface, we have approximately (21,34)
ck ¼
2pm
;
lnð2d ðzÞ=rÞ
0
(8)
A
and that of the helical flagella as
Biophysical Journal 90(2) 400–412
406
Lauga et al.
1
Fx
B Fy C
C
B
B Fz C
C
B
B Lx C ¼
C
B
@ Ly A
Lz
0
1
FU
FU
FV
FV
FV
1
0
Mxx
W xy
0
Mxx
W xy
Mxz
Ux
B
FU
FU
FV
FV
FV C
Myy
0
W yx Myy
W yz C B Uy C
B W yx
C
B
FU
FV
FV C B
C B Uz C
B 0
0
M
M
0
M
zz
zx
zz C B
C;
B
B
LU
LU
LV
LV
C
B MLU
W xy
Mxz
Mxx W xy
0 C
xx
C B Vx C
B
B
LU
LU
LV
LV
LV C @ V v A
y
Myy
0
W yx Myy
W yz A
@ W yx
Vz
LU
LU
LU
LV
LV
Mzx
W zy
Mzz
0
W zy
Mzz
|fflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflffl{zfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflfflffl}
0
(9)
B
with values calculated in Appendix A. As can be seen in Eq.
9, the matrix B is almost full; the elements reported to be zero
are either exactly zero at all instants or time-average to zero
over the rotation period of a flagellar filament, T ¼ 2p/v. If
we define
T
T
X ¼ ðUx ; Uy ; Uz ; Vx ; Vy ; Vz Þ ; and Y ¼ ð0; 0; 0; 0; v; 0Þ ;
(10)
then the requirement that the microorganism is freeswimming, L ¼ 0 and F ¼ 0, becomes a 6 3 6 linear
system to solve for X of the form
ðA 1 BÞX ¼ BY:
U
;
jVz j
2 1=2
2
U ¼ ðUx 1 Uy Þ :
LV
LV
LV
(13a)
FU
zz
LV
yy
LV
yy
(13b)
LU
LU
LU
LU
(13c)
FV
xy
FV
xy
FV
yx
FV
yx
(13d)
N zz Mzz ; N xx Mxx ;
M
FU
zz
N ;M
N
W xy V xy ; W yx V yx ;
W
V ;W
V :
;
Furthermore, since the x and z components of both velocity and rotation rate are zero far from the solid surface, we
make the assumption that, near the surface, these components
Biophysical Journal 90(2) 400–412
FU
FU
Myy 1 N yy
v;
FV
Myy Myy
LV
(14a)
FU
FU
N yy ðMyy 1 N yy Þ
v;
(14b)
and Vy is indeed verified to be much smaller than v. We can
then use +F z ¼ 0 and obtain
(12)
When the bacteria swims far from the solid surface, an
analytical solution to motion can be found and we give it in
Appendix B. In the presence of a solid surface, an analytical
solution to the linear system, Eq. 11, exists in theory by direct
matrix inversion, but it is very complicated and not very
enlightening. We present below instead an approximate
analytical solution of the linear system.
First, we note that, in the case of E. coli, a number of
mobilities can be neglected between the elements of A and
B. They are
Myy
LU
Vy Uz ¼
Approximate analytical solution
LV
FV
Uy (11)
The solution for the velocity, U, and the rotation rate, V,
can be found by simply substituting the values of the mobilities from Appendix A and numerically solving the linear
system Eq. 11. The radius of curvature of the in-plane motion
will then be given by
R¼
are at most on the order of the y components: we therefore
assume that (Ux, Uz) & Uy and (Vx, Vz) & Vy. We further
assume that Vy v, as is the case far from the surface.
ab
ab
Finally, since we have in general ðW ab
ij ; V ij Þ ðMiy ;
ab
N iy Þ, where j ¼ x or z, these assumptions allow us to
simplify further the mobilities in the matrices A and B.
In that case, the equations +Ly ¼ 0 and +F y ¼ 0 lead to
the approximate solutions for the swimming speed and body
rotation
1 FV
FV
FU Mzx Vx 1 Mzz Vz :
N zz
(15)
It follows, by substituting Eq. 15 into +Lz ¼ 0 and
evaluating the leading-order contribution, that
"
#
LU
FV
1 Mzz Mzx
LV
LV
Ux ¼ LU
Vx Mzz Vz W zy v :
(16)
FU
Mzx
N zz
As a consequence, substituting Eqs. 15 and 16 into +Lx ¼ 0,
using Eq. 14a and evaluating the leading-order term leads to
LU
FV
V xy Myy
MLV MLU
M Vx 1 zz LU xx Vz 1 FU
FU v ¼ 0:
Mzx
Myy 1 N yy
LV
xx
(17)
Finally, substituting Eqs. 14a, 14b, and 16 into +F x ¼ 0 and
keeping the leading-order terms leads to
LV
FU
FU
Mzz ðMxx 1 N xx Þ
FV
FV
M
Mxx Vx 1
LU
xz Vz
Mzx
LV
1
FU
FU
W zy ðMxx 1 N xx Þ
v ¼ 0:
LU
Mzx
(18)
Solving the 2 3 2 linear systems of equations given by Eqs.
17 and 18, and keeping only the leading-order terms, leads to
approximate formulae for the x and z components of the
rotation rates as
Swimming in Circles
407
Vx FV
V LU
xy Myy
LV
xx
FU
yy
FU
yy
M ðM 1 N Þ
v;
wall. Note that this trapping does not require cells to be
nonspherical (8). Note also that
(19a)
Ux
Uy
LV
W zy
Vz LV
Mzz LU
MFV
xz Mzx
FU
FU
Mxx 1 N xx
!v:
(19b)
LU
!
FV
LU
Mxz Mzx
LV
1 LV
;
FU
FU
FU
FU
W zy ðMyy 1 N yy Þ
Mzz ðMxx 1 N xx Þ
LV
FV
Mzz Myy
(24)
which is very similar to that given by the simple physical
picture in Eq. 4.
The results of the analytical model are summarized in
Table 2. When we set V ¼ W ¼ 0, and assume that the previous approximations still hold, the results from Appendix B
(swimming far from surface) are recovered.
(21a)
RESULTS OF THE MODEL AND COMPARISON
WITH EXPERIMENTS
LV
FU
FU
U
Uy
jVz j jVz j
FV
W zy
LV
(23)
so the calculation assumptions are consistent.
We can finally evaluate the approximate solution for the
radius of curvature of the circular trajectory. It is given by
(20)
V M M
Uz FU xyLV zx FU yy FU v;
N zz Mxx ðMyy 1 N yy Þ
Ux FV
V M
Uz
h
xy zxLV 1;
L
Uy N FU
M
k
xx
zz
so the timescale for reorientation of the bacteria perpendicular to the surface is much larger than the typical swimming
timescale; the assumption that the bacteria is and remains
parallel to the surface is therefore valid on a typical swimming timescale.
Now, substituting Eq. 19a and Eq. 19b into Eq. 15 and Eq.
16 and keeping leading-order terms leads to
FV
FU
xx
FU
xx
FV
xz
where e ¼ 2pb/l and J is defined in Appendix A, and
R¼
3
a
1;
Lk
LU
MFV
yy
3
! J 1;
e
M ðM 1 N Þ
MLU
zx
M
LV
zz
(22)
Note that the denominator in the equation for Vz, Eq. 19b, is
dominated by MLV
zz but not by much, so we need to keep
both terms to obtain correct orders of magnitude. These equations allow us to verify that, for E. coli, Vx is much smaller
than Vy and Vz is of the same order as Vy. Note also that we
obtain Vz , 0, which means that the bacteria is swimming to
its right (clockwise trajectory viewed from above) and that
Vx , 0, so that the bacteria will also have the tendency to
swim into the surface. Also, we observe that
LU
aVx aV xy
LV
Uy
Mxx
FU
FU
W LV
zy ðMyy 1 N yy Þ
Mzz ðMxx 1 N xx Þ
LU
Mzx
FV
Mxz
!v;
(21b)
Parameters of the model
The geometric characteristics of the flagellar helical bundles
that we use are l ¼ 2.5 mm, Lk ¼ 7.5 mm (number n ¼ 3 of
wavelengths), and b ¼ 250 nm (12,13,46). It is more difficult
to estimate the appropriate radius of the bundle. Individual
and we get that Ux . 0 and, more important, that Uz , 0.
This result, together with the result that Vx , 0, shows that
hydrodynamic interactions vertically trap the cell close to the
TABLE 2 Summary of the results of the simplified model for E. coli swimming near a solid surface; the mobilities are calculated
in Appendix A
LV
Ux W zy
FV
FU
FU
MLV
LU
zz ðMxx 1 N xx Þ
Mzx
FV
Mxz
LU
Vx FU
FV
Mzz Myy
Myy
LU
FU
Vy v
FV
LU
M M
R LV
1 LV xz FU zx FU
FU
FU
W zy ðMyy 1 N yy Þ
Mzz ðMxx 1 N xx Þ
Uz FU v
FU
Myy 1 N yy
LU
Mxx ðMyy 1 N yy Þ
LV
Uy FV
V xy Myy
LV
!v
FU
FV
FU
LV
FU
FU
N zz Mxx ðMyy 1 N yy Þ
FV
v
LV
Myy Myy
LV
FV
V xy Mzx Myy
FU
N yy ðMyy 1 N yy Þ
v
W zy
Vz FV
LV
zz
M
LU
M M
FUxz zxFU
Mxx 1 N xx
!v
!
Biophysical Journal 90(2) 400–412
408
flagella have radius of ;12 nm (1,12) and there are between
two and six flagella per bundle (four, on average). Results of
RFT away from surfaces in Chwang et al. (38) show that
appropriate velocities and rotation rates are obtained if r is
between 100 nm and 200 nm (46). However, the radius of
a tight bundle of seven flagella is approximately r 20 nm
(13,46), and comparison between SBT calculations and
Image Velocimetry experiments in Kim et al. (31) has shown
that the flow generated by a two-filament bundle in steady
state is the same as the flow generated by a single rigid helix
with radius twice that of individual filaments. We chose in
this article to use r ¼ 50 nm as an intermediate value; the
dependence of the results on the value of r will be addressed
below. For the cell radius a, we take the equivalent sphere
radius a that has the same viscous resistance as the prolate
ellipsoid of measured cell dimensions translating along its
axis of symmetry (28) (as explained above); the experimental
values of a vary from 0.81 to 1.16 mm. The only parameter in
the model whose value is unknown is the gap thickness h.
The minimum distance cells can swim from the surface is
;10 nm because of the protrusion of the flagellar hook from
the cell body (personal communication, R.M. Ford). Values
of h have been measured to be 30–40 nm (8) . To compare
the model with our experimental data, we will assume h to be
in the range from 10 to approximately 100 nm.
Comparison experiments/models with a fixed
gap thickness h
In this section, we fix the value of the gap thickness to be the
same for all cells, so that the center of each cell is located at
the same distance d ¼ h 1 w/2 from the nearby surface.
Despite the scatter in our experimental data, we find that the
results of the two hydrodynamic models (numerical solution
of Eq. 11 and analytical solution from Table 2) are com-
Lauga et al.
parable and are consistent with our experimental data, both
for the radius of curvature of the trajectory, R 15 to 35
mm, and the swimming speed, U ¼ (Ux2 1Uy2 Þ1=2 20 to 25
mm/s; both set of values compare also favorably with past
experimental results as described in the Introduction.
The results comparing experiment and theory are illustrated in Fig. 5. Results are displayed for two values of h,
h ¼ 10 nm (top) and h ¼ 60 nm (bottom). In both cases, the
values of the flagella rotation speeds, v, were chosen to lead
to the best least-square fit of the measured cell velocities by
the full hydrodynamic model; we obtain v ¼ 156 Hz when
h ¼ 10 nm and v ¼ 127 Hz when h ¼ 60 nm. These values
are consistent with the measurements of Vigeant et al. (8)
and with typical values for the rotation rate of flagella in
E. coli (2,11,12). The overall best-fit to the data by the full
model with a constant h is obtained for h ¼ 16 nm and
v ¼ 148 Hz.
We now discuss the difference in trends between the
models and the experimental data. The full hydrodynamic
model predicts that the swimming speed, U, decreases with
the cell size a, in agreement with our measurements. This
result is a consequence of the increase of the viscous resistance with the cell size. However, the model predicts that,
when the gap thickness h is fixed, the radius of curvature, R,
should remain approximately constant, in contrast with the
results of our experiments. Indeed, as the cell size increases,
so does the distance between the helical flagella and the wall,
so the rotation-inducing torque decreases, leading to a decrease in the rotation rate of the bacteria. In the range of
parameters studied here, both the swimming velocity and the
rotation rate decrease by approximately the same amount
with an increase in a, leading to an approximately constant
value for R. Since the experimental data display an increase
of the radius of curvature with cell size, we will explore the
possibility of a relationship between h and a below.
FIGURE 5 Comparison between the results of the experiments (8), the full
hydrodynamic model (numerical solution
of Eq. 11, n; and best fit, straight line) and
the simplified model (Table 2, dash-dotted
line) with a fixed gap thickness h. (Top)
h ¼ 10 nm and v ¼ 156 Hz: (a) radius of
curvature, R, and (b) swimming velocity,
U, as a function of the bacterial radius a.
(Bottom) h ¼ 60 nm and v ¼ 127 Hz: (c)
radius of curvature, and (d) swimming velocity as a function of the bacteria radius a.
Biophysical Journal 90(2) 400–412
Swimming in Circles
Dependence of the models on the cell parameters
In the experimental data presented for E. coli, l and b should
be approximately constant, but a, r (essentially proportional
to the number of flagella), and Lk, are likely to vary from cell
to cell. We expect this variability to give rise to the scatter
observed in the experimental data for R and U. In this
section, we investigate the dependence of both the full model
and the approximate analytical model on r, Lk (through n) to
help explain the scatter observed in the experimental data,
and we present the dependence of the model on l and b to
help predict the behavior of organisms other than E. coli.
(The dependence of the model on the cell body, a, and the
gap thickness, h, are illustrated in Fig. 5. Moreover, from Eq.
409
11, it is straightforward to see that both U and V scale with
v, and therefore R is independent of v. Finally, since the
viscous mobilities are all proportional to the viscosity of the
liquid, m, both U and V, solutions to Eq. 11, are independent
of m, and therefore so is the radius of curvature R.) To
display the variations, we will fix the values to be b ¼ 250
nm, h ¼ 30 nm, r ¼ 50 nm, l ¼ 2.5 mm, Lk ¼ 3l (that is,
n ¼ 3), and v ¼ 150 Hz, and will then vary each one of the
parameters fb, r, l, ng at a time. The results are displayed in
Fig. 6 for the full hydrodynamic model (numerical solution
of Eq. 11, solid squares and best fit, solid lines) and the
approximate analytical model (Table 2, dash-dotted lines).
These results first confirm that both models are in agreement for the trends and values of the swimming velocity,
FIGURE 6 Dependence of the results
fR,Ug on the geometrical parameters fb,
r, l, ng for the two models (full model:
squares and best fit, solid line; approximate analytical model: dash-dotted line),
in the case where r ¼ 50 nm, l ¼ 2.5 mm,
b ¼ 250 nm, Lk ¼ 3 l (n ¼ 3), h ¼ 30 nm,
and v ¼ 150 Hz, and one of the
parameters is varied at a time. (a and b)
Dependence on the helix radius, b, for
two values: b ¼ 200 nm (n and thick
lines) and b ¼ 300 nm (h and regular
lines). (c and d) Dependence on the
bundle radius, r, for two values: r ¼ 20
nm (n and thick lines) and r ¼ 100 nm
(h and regular lines). (e and f) Dependence on the helix wavelength, l, for
two values: l ¼ 1 mm (n and thick lines)
and l ¼ 4 mm (h and regular lines).
(g and h) Dependence on the number
of wavelengths, n, for two values: n ¼ 2
(n and thick lines) and n ¼ 4 (h and
regular lines).
Biophysical Journal 90(2) 400–412
410
although the approximate analytical model can lead to large
errors for the radius of curvature of the trajectory (by up to
50%). For both models, the dependence of the swimming
velocity, U, on the four parameters is found to be consistent
with the increase of the propulsive viscous force with b, r, l,
and n (see the values of the mobilities as calculated in
Appendix A). The radius of curvature decreases with r,
consistent with an increase in the hydrodynamic interactions
with the nearby surface as described by Eq. 7. Furthermore, R
decreases with b, confirming the important role of the viscous
resistance on parts of the helix that are close to the surface
(whose distance to the surface decreases with b) in inducing
the torque on the cell in the z-direction. Finally, the increase of
R with l and n probably follows that of U, through Eq. 12.
Comparison experiments/models using
a relationship between cell size and gap thickness
As was observed earlier, the value of the radius of curvature
from the model depends strongly on the unknown gap thickness h. Returning to the comparison with the results of our
experiments, we see that data for larger cells tend to be more
consistent with the model for large values of h (Figs. 5 and 6).
Thus we propose here that, if we suppose that all bacteria have
the same geometrical characteristics, fb, r, l, Lkg, our
hydrodynamic model could be used to estimate the relation
between the typical cell size, a, and its steady-state distance to
the wall, h, by fitting the model to the experimental data of
Fig. 2, which show an increase of R with cell size. The results
are illustrated in Fig. 7, where we have plotted together the
results of the experiments with two predictions of the full
hydrodynamic model (Eq. 11) where the cell parameters are
given above and where we assume a linear relationship
between a and h,
a a1
hðaÞ ¼ h0 1
h1 :
(25)
a2
FIGURE 7 Best fit to the experimental data (8) by an h(a) law in the full
hydrodynamic model (numerical solution of Eq. 11, straight line), as given
by Eq. 25. The relation between h and a is chosen to obtain the same linear
slope for the results of the model and the experimental data (a) and the best
least-square difference between the model and the data (b).
Biophysical Journal 90(2) 400–412
Lauga et al.
The parameters for this fit are h0 ¼ 10 nm, a1 ¼ 0.81 mm,
a2 ¼ 0.35 mm, and the value of h1 is chosen to lead to the
same correlation (slope) between the results of the model and
the experimental data (a, h1 ¼ 119 nm) or the best possible
least-square difference between the model and the data
(b, h1 ¼ 48 nm).
CONCLUSION
We have presented a hydrodynamic model for the swimming
of E. coli near solid boundaries and compared it to a new set of
measurements of cell velocities and trajectories. We have
shown that force-free and torque-free swimming was responsible for the clockwise circular motion of the cells, Vz , 0, as
well as for their hydrodynamic vertical trapping close to the
surface, that is, Vx , 0 and Uz , 0. This trapping is probably
responsible for the extended period of time during which cells
are observed to remain near surfaces, which enhances the
probability of cell adhesion to substrates. Determining the
mechanisms responsible for the relationship between h and
a we inferred from the measurements would be valuable.
The main assumptions made in this article, and which
illustrate the differences between real swimming E. coli cells
and our model, are the following:
1. We have replaced the bundle of several flagella by a
single rigid helix; according to the results of Kim et al.
(31), this might not be a large source of error.
2. We have assumed that the cell body was spherical; this
assumption is probably more important, and an analysis
using a nonspherical head might lead to an explanation of the
increase of the distance to the wall, h, with the cell size.
3. We have ignored all interactions between the cell body
and the flagella.
4. We have ignored Brownian motion.
Although relaxing these assumptions would improve on
the agreement between theory and experiments, we do not
expect it would change the physical picture given in this
article for the circular motion. Including the presence of a
second (top) boundary should also modify the cell trajectories (47). If the surface was a perfectly-slipping interface
(such as the free surface between air and water) instead of
a no-slip surface, the change of the direction of the image
system for a point force (48) should lead to bacteria swimming in circles, but in a counterclockwise direction (X.L. Lu,
University of Pittsburgh, private communication).
Finally, our experimental finding that the radius of curvature of cell trajectories depends on the size of the cell,
suggests a new strategy for sorting cells by size using hydrodynamic interactions.
APPENDIX A: CELL MOBILITIES
We present in this Appendix the values of the hydrodynamic mobilities of
the bacteria. First, since we have h a, the lubrication approximation can
Swimming in Circles
411
be made to derive the mobilities for the cell body (41–44). We find that they
are given by
FU
FU
N xx ¼ N yy ¼ 6pma
LU
FV
2
W zy ¼ W yz ¼ ck Lk
8 a
ln
1 0:96 ;
15 h
LV
LV
N xx ¼ N yy
N
LV
zz
3
¼ 8pma ;
a
LU
LU
2 1
ln
0:19 ;
V xy ¼ V yx ¼ 8pma
10 h
a
FV
FV
2 2
ln
0:25 :
V xy ¼ V yx ¼ 6pma
15 h
(28j)
2
(26a)
LU
FV
W xy ¼ W yx ¼ ck b Lk
2
a
FU
N zz ¼ 6pm ;
h
a
3 2
1 0:38 ;
¼ 8pma ln
5 h
e
J;
2 1=2
ð1 1 e Þ
(26b)
1 1 2e
1=2 I ;
ð1 1 e2 Þ
(28k)
2
LV
LV
2
W zy ¼ W yz ¼ 2 ck b Lk
(26c)
LV
LV
2
W xy ¼ W yx ¼ ck b Lk
(26d)
1 1 e =2
J;
2 1=2
ð1 1 e Þ
(28l)
e
I;
2 1=2
ð1 1 e Þ
(28m)
where e ¼ 2pb/l, and where we have defined the two integrals
(26e)
I¼
(26f)
J ¼
Z
Z
1
cosð2puÞf ðcosð2puÞÞdu;
0
1
ðu 1 u0 Þcosð2pnuÞf ðcosð2pnuÞÞdu:
(29)
0
Note that we assumed that N LV
zz was equal to its far-field value, as it
was shown that the presence of a nearby surface has only a small effect on
the value of this mobility (41).
Second, the bundle of helical flagella is described by the equation
8
>
< x ¼ bsinðs vtÞ
l
y ¼ ðs 1 s0 Þ ;
>
2p
:
z ¼ b cosðs vtÞ
APPENDIX B: SWIMMING FAR FROM A SURFACE
(27)
where s ranges from 0 to 2np, and v is the rotation rate of the flagella bundle
relative to the cell body. In that case, the mobility calculation was done
according to RFT and we get
2
FU
FU
Mxx ¼ Mzz ¼ 2 ck Lk
FU
Myy ¼ ck Lk
LU
1 1 3e =4
;
2 1=2
ð1 1 e Þ
1 1 2e2
;
2 1=2
ð1 1 e Þ
FV
Myy ¼ Myy ¼ ck bLk
(28a)
(28b)
e
;
2 1=2
ð1 1 e Þ
FV
FV
LU
LU
2
(28d)
1 1 3e2 =4
; (28e)
2 1=2
ð1 1 e Þ
2
2
MLV
yy ¼ 2 ck b Lk
1 1 e =2
;
2 1=2
ð1 1 e Þ
When the bacteria swims away from a surface, we have W ¼ 0 and V ¼ 0, so
the mobility matrices become
1
FU
N xx
0
0
0
0
0
FU
B 0
N yy
0
0
0
0 C
C
B
FU
B 0
0
N zz
0
0
0 C
C
B
A¼B
C;
LV
B 0
0
0 C
0
0
N xx
C
B
LV
@ 0
0 A
0
0
0
N yy
LV
0
0
0
0
0
N zz
(30)
0
and
(28c)
2
2
1 1 3e =4
LV
ck L3k
;
MLV
xx ¼ Mzz ¼
2 1=2
3
ð1 1 e Þ
Mzx ¼ Mxz ¼ Mxz ¼ Mzx ¼ ck Lk
Note that for the calculation of MLV
yy , the contribution due to the local
rotation of the flagella can be neglected because r b (38).
(28f)
1
e
LU
LU
FV
FV
Mxx ¼ Mzz ¼ Mxx ¼ Mzz ¼ ck b Lk
;
2 1=2
2
ð1 1 e Þ
FU
FV
FV 1
Mxx
0
0
Mxx
0
Mxz
FU
FV
B 0
Myy
0
0
Myy
0 C
C
B
B
FU
FV
FV C
0
Mzz Mzx
0
Mzz C
B 0
B¼B
C:
LU
LV
B MLU
0
Mxz Mxx
0
0 C
xx
C
B
LU
LV
@ 0
Myy
0
0
Myy
0 A
LU
LU
LV
Mzx
0
Mzz
0
0
Mzz
(31)
0
Solving Eq. 11 for the velocities and rotation rates in this case leads to
Ux ¼ Uz ¼ Vx ¼ Vz ¼ 0 and
(28g)
FV
FU
FU
1 1 e =2
I;
2 1=2
ð1 1 e Þ
W xy ¼ W yx ¼ ck Lk
e
I;
2 1=2
ð1 1 e Þ
Myy N yy
LV
LV
(28h)
(28i)
Vy ¼
FU
FU
FV
LU
v; (32a)
LU
v: (32b)
ðMyy 1 N yy ÞðMyy 1 N yy Þ 1 Myy Myy
LV
2
LU
W yx ¼ W xy ¼ 2 ck bLk
LV
FV
Uy ¼
FU
FU
FV
LU
Myy ðMyy 1 N yy Þ 1 Myy Myy
LV
LV
FU
FU
FV
ðMyy 1 N yy ÞðMyy 1 N yy Þ 1 Myy Myy
In the absence of a wall, the bacteria swims therefore in a straight line and
rotates its body in the direction opposed to that of the flagella.
Biophysical Journal 90(2) 400–412
412
We thank H. Berg for his gift of strain HCB437 as well as H. Berg, H. Chen,
P. Garstecki, E. Hulme, and L. Turner for helpful conversations and feedback.
This work was supported by the National Institutes of Health (grant No.
GM065354), Department of Energy (grant No. DE-FG02-OOER45852), and
the Harvard Materials Research Science and Engineering Center (grant No.
DMR-0213805). W.R.D. acknowledges a National Science FoundationIntegrative Graduate Education and Research Traineeship Biomechanics
Training grant (No. DGE-0221682). E.L. acknowledges funding by the Office
of Naval Research (grant No. N00014-03-1-0376).
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